ai risk

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29th August 2026: a scenario
2 months ago
- A 17-year-old teenager accidentally discovers and deploys a critical Linux kernel exploit using an AI coding agent, causing widespread cloud outages.
- The exploit targets a vulnerability similar to the real CVE-2026-31431 (CopyFail), which was found by AI after nine years of human oversight.
- AWS and Azure experience massive service disruptions, causing global failures in banking, payments, and essential services.
- Governments respond with public addresses, blaming nation-state actors, while the real cause is an unintentional exploit developed by an AI agent.
- Recovery efforts are hampered by dependency on the same cloud providers, revealing centralization risks in modern infrastructure.
- The teenager's actions are traced to a PS5 homebrew attempt, highlighting the growing power of AI tools to find critical vulnerabilities.
- The fictional scenario warns about the dangers of AI-driven exploit discovery and the fragility of centralized cloud services.
Y’all are over-complicating these AI-risk arguments
2 months ago
- The simple argument for AI risk compares the arrival of AI with IQ 300 to an alien species with IQ 300, which most people would find concerning.
- The complex argument involves multiple steps (fast takeoff, alignment difficulty, convergent subgoals, decisive strategic advantage) and is often overconfident or unsatisfying.
- The simple argument is more likely true, easier to understand, and reveals the crux of disagreement: whether people truly believe AI with IQ 300 and full human capabilities could appear.
- The complex argument can be framed as a 'middle version' claiming that if things go wrong, they will likely go wrong as in that scenario, but it may not capture all bad outcomes.
- Optics of arguments matter: surveys show many people already worry about AI risk, so the simple argument may not be more convincing than a confident complex argument.
Amazon Basics, but for intellectual property.
2 months ago
- Amazon has been accused of using seller data to create competing products like Amazon Basics, despite denying the allegations.
- Merchants who sell on Amazon risk exposing their operational data to the platform, which could use it for competitive advantage.
- Anthropic's Claude Design tool raised conflict-of-interest concerns when its CPO resigned from Figma's board shortly before its launch.
- Companies using AI tools may inadvertently share proprietary data with AI providers, who could become competitors.
- Historical examples show that access to aggregated business data (e.g., from Zendesk) can provide insights that lead to new features or competing products.

ai risk

29th August 2026: a scenario

Y’all are over-complicating these AI-risk arguments

Amazon Basics, but for intellectual property.